
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "125"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 100 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 96 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	40.321848	8.097567	60.269531	73.972476	20.292273	26.026078	33.139558	28.264785	0.0342	0.0394	0.0038	1.255190	1.232853
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	33.046139	20.620676	72.294650	77.655071	30.136274	36.518587	21.916361	10.852070	0.0326	0.0406	0.0047	1.316768	1.329247
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.683592	1.662194	2.517572	2.882917	1.624611	1.814960	2.762034	0.780639	0.0340	0.0360	0.0033	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.977066	18.908426	85.902215	90.322453	26.297859	32.113293	10.409833	2.159157	0.0349	0.0390	0.0029	1.335318	1.457965
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	37.700927	21.921184	79.564115	84.304065	28.056184	34.009013	15.879569	4.092680	0.0371	0.0426	0.0043	1.252810	1.266937
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	34.538793	21.167906	74.015496	78.167186	16.637989	21.658293	21.999582	16.780246	0.0333	0.0404	0.0045	1.248457	1.226416
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	45.364600	17.005388	85.946242	95.446247	21.676170	25.030737	22.303487	13.482794	0.0334	0.0413	0.0045	1.318014	1.369754
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	33.935383	25.078164	119.904703	127.101356	-1.596167	7.370426	-4.675000	10.224048	nan	nan	nan	1.319224	1.724290
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	31.591569	18.384607	28.524224	29.677703	9.701447	11.304346	19.267000	6.469690	0.0331	0.0398	0.0043	1.303844	1.411450
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.834082	25.199312	7.336995	8.157115	9.090048	10.068573	5.548928	4.228621	0.0300	0.0310	0.0011	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.300741	29.029404	98.762078	102.650227	15.855149	17.976086	35.461686	34.350010	0.0334	0.0398	0.0031	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.428568	18.670828	30.870627	31.992464	19.223512	22.935316	-0.339843	0.215646	0.0372	0.0408	0.0029	0.000000	0.000000
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.417067	16.681806	27.695020	29.043808	22.476724	27.332001	-0.294610	0.240273	0.0347	0.0381	0.0024	1.240783	1.252307
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.693704	23.929828	32.116035	32.729875	18.049341	22.156644	-0.129448	0.331286	0.0347	0.0398	0.0026	1.184809	1.188233
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.408062	17.576803	32.215272	33.546717	19.679208	23.167225	-0.554001	0.107716	0.0360	0.0406	0.0030	0.000000	0.000000
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.922965	17.233369	36.484774	38.167651	22.005272	26.548497	0.417637	1.353710	0.0339	0.0376	0.0024	1.214632	1.223046
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.046014	1.773821	0.546818	0.414148	-0.485171	1.574353	-0.824937	1.232392	0.0344	0.0309	0.0026	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.293868	21.264371	29.878007	30.607004	20.345240	24.474449	-0.247827	0.285918	0.0330	0.0377	0.0034	1.215727	1.282467
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.325405	16.790277	23.748319	24.609576	17.978328	21.392400	0.312775	0.917985	0.0350	0.0381	0.0021	1.300220	1.412494
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.436446	17.312376	23.529926	24.439737	15.072484	16.720954	7.239183	6.373008	0.0370	0.0412	0.0028	1.242648	1.244452
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.223264	15.197468	22.595119	23.375182	20.328544	23.925052	0.867182	0.584266	0.0381	0.0411	0.0021	1.306716	1.377420
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.038186	16.021615	38.877117	40.164929	23.527611	27.616531	0.155421	1.255405	0.0371	0.0405	0.0024	1.250441	1.254847
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.562798	1.459326	0.370193	0.366438	-0.573895	0.255666	-0.912620	1.154643	0.0333	0.0307	0.0030	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.325214	19.190840	29.972000	30.637466	10.714709	10.864442	8.292917	9.105389	0.0391	0.0430	0.0033	1.218552	1.221465
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.687135	15.712077	29.623986	30.459657	18.067544	21.190435	-0.655884	-0.240442	0.0335	0.0352	0.0013	1.244606	1.241502
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	4287.746435	4287.746435	4026.123085	4026.123085	-0.635090	-0.635090	-1.849535	-1.849535	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.321414	14.107425	31.496057	32.438929	2.171774	2.272241	0.074080	1.025725	0.0331	0.0379	0.0029	1.243678	1.288922
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.998178	15.946219	59.741117	61.953946	18.929580	21.870295	0.182106	2.179745	0.0349	0.0390	0.0032	1.207554	1.208384
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.286935	10.268160	15.444566	15.958106	2.264325	2.576887	0.211515	0.591551	0.0346	0.0376	0.0020	1.213348	1.266782
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.139042	11.460965	14.700222	15.174605	2.616301	2.842999	0.347470	0.928456	0.0355	0.0396	0.0023	1.194233	1.238065
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.240068	10.638798	15.109178	15.388484	2.154102	2.739224	0.136345	0.461378	0.0351	0.0391	0.0025	1.211675	1.257579
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.565148	12.897151	16.507316	16.908219	2.558825	3.151449	0.370632	0.827696	0.0365	0.0412	0.0030	1.225756	1.270756
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.204047	16.614408	30.930572	32.326441	20.947042	22.690498	0.432721	1.171786	0.0364	0.0404	0.0030	1.222373	1.228565
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0307	0.0293	0.0015	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.648543	16.978961	33.403255	35.010769	18.884871	20.625317	1.064059	2.762640	0.0376	0.0411	0.0025	1.284579	1.338832
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0336	0.0366	0.0025	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0368	0.0380	0.0013	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.286909	20.075644	45.095545	46.082755	28.106133	31.738296	2.448690	2.864849	0.0353	0.0390	0.0028	1.229643	1.231040
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.842363	9.392490	18.277596	18.729313	3.099462	4.027800	0.372217	0.929704	0.0340	0.0366	0.0028	1.253254	1.286473
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0424	0.0409	0.0015	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.274230	15.265263	33.865568	34.810841	20.077014	22.261171	0.177216	0.904509	0.0334	0.0363	0.0027	1.213971	1.221953
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.470483	-0.057944	-0.400903	-0.555786	2.298446	1.075824	0.460707	-0.952804	0.7757	0.7779	0.3300	4.373255	3.504576
2459541	RF_maintenance	0.00%	1.34%	1.34%	0.00%	100.00%	0.00%	0.515144	-0.592891	1.628861	0.495188	0.535178	1.361365	1.207079	-0.501325	0.7676	0.7648	0.3073	5.809807	5.291979
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.546221	-0.009283	0.677531	-1.351146	-0.269872	1.158460	1.109965	-0.556384	0.7742	0.7691	0.3200	3.432208	3.086004
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.754117	8.405318	2.892614	1.527930	1.020866	2.134528	4.633696	0.373320	0.7578	0.7492	0.3915	5.402627	4.792323
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.411643	-1.195616	0.804159	-1.229924	0.040393	0.935877	1.563363	-0.583949	0.8020	0.7905	0.3312	4.514741	3.330044
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.740288	-0.682503	1.546768	1.316575	-0.559653	0.765034	3.921752	-0.750137	0.7475	0.7464	0.3802	4.048438	3.462263
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.972755	-0.236410	2.327934	1.380097	-0.706170	-0.012140	1.413752	-0.889936	0.7468	0.7437	0.3823	5.570926	4.424780
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.242934	-1.726243	0.911189	-1.060880	0.647045	-0.909980	2.156452	-0.168837	0.7657	0.7559	0.3759	5.594955	3.951698
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.237370	-0.008867	1.633468	1.556116	-0.445516	0.278583	1.540806	-0.737969	0.9176	0.9477	0.2554	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.658440	0.337860	1.569529	1.212087	-0.705845	0.108507	-0.559760	-0.327324	0.7168	0.7296	0.3264	4.899412	4.676188
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-1.083857	-0.378736	-0.146215	0.857623	-1.025897	-0.746124	1.022724	0.222862	0.0365	0.0375	0.0057	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.485041	0.802978	1.199000	0.683868	-0.330566	0.072430	0.610676	0.599615	0.9323	0.9594	0.1398	0.000000	0.000000
2459505	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.492471	0.119212	1.341106	0.053869	-0.847839	-0.003238	-0.451697	-0.100480	0.8931	0.8760	0.1788	15.666275	17.264099
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.673794	1.678980	1.907197	0.863964	1.627065	1.834702	0.987266	-0.765766	0.8940	0.8859	0.4006	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.083079	3.619049	0.838009	1.895855	-0.119620	1.320709	-0.016106	-0.489055	0.8380	0.8739	0.3696	0.000000	0.000000
2459500	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.080419	2.624689	0.733625	1.727775	1.377674	2.017784	0.130806	-1.045271	0.8676	0.8909	0.3787	0.000000	0.000000
2459499	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.314837	2.800887	1.387601	1.750441	1.675882	1.829651	0.946856	-0.984699	0.8823	0.9327	0.1929	0.000000	0.000000
2459498	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.186468	2.055291	1.096664	1.392487	1.341598	1.131849	1.991639	-0.342898	0.8775	0.8954	0.4053	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.124935	2.267913	0.781942	1.420737	1.455948	1.139014	-0.253743	-1.004952	0.0775	0.1198	0.0112	0.000000	0.000000
2459496	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.779882	3.501489	1.291467	1.259796	2.264980	0.808225	0.723963	-0.994925	0.0770	0.1209	0.0120	0.000000	0.000000
2459495	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.265122	1.786304	1.124497	1.222294	2.216455	0.722137	1.088964	-1.054058	0.0952	0.1250	0.0156	0.000000	0.000000
2459494	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.302084	2.632799	0.976779	1.704849	2.047992	1.138200	0.417838	-1.020658	0.0782	0.1271	0.0127	0.000000	0.000000
2459492	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.539463	1.300614	0.239425	1.184573	-0.464689	-0.581516	0.088170	-1.770197	0.0843	0.0989	0.0067	0.000000	0.000000
2459491	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.045953	0.837369	0.492488	0.554142	0.058777	-0.683085	0.824125	-0.736304	0.0988	0.0879	0.0071	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.071788	4.991241	0.360375	0.414972	0.090178	0.279114	4.359691	-0.276931	0.0935	0.0985	0.0103	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.011489	5.576719	0.612715	0.611787	0.606995	0.138438	0.329170	-0.601506	0.0933	0.1009	0.0081	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.293644	12.672398	0.790088	1.445323	-0.254511	1.085798	1.775736	-0.106380	0.0959	0.0974	0.0087	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 125 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 125, Node 9:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 125: 2459624

Antenna 125: 2459623

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Antenna 125: 2459536

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Antenna 125: 2459534

Antenna 125: 2459533

Antenna 125: 2459532

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶